518 results about "Supply management" patented technology

According to the heterogeneous multi-core chip power consumption state control system and the heterogeneous multi-core chip provided by the invention, the power consumption state request of each sub power supply domain is received through the set system hardware power consumption management module, and the driving signal is sent to the corresponding sub power supply domain according to the preset hardware time sequence, so that the corresponding sub power supply domain enters the target state; generating a PMU control signal; and the power management module drives an internal voltage regulator to execute corresponding regulation operation according to the PMU control signal. A special control processor (SCP) is not needed, the system hardware power consumption management module realized by pure hardware is adopted to directly control the power consumption state of each sub power supply domain in the heterogeneous multi-core SoC, the software processing delay is eliminated, the response speed is high, the static power consumption of the power consumption management module is remarkably reduced, and the system is particularly suitable for an ultra-low power consumption scene and has a wide application prospect. And hardware-level surge current protection is realized in a multi-core power-on process.

The embodiment of the invention provides an intelligent electric precipitation system. The intelligent electric precipitation system comprises a power management module, a working condition sensing module, a dynamic optimization module and a cooperative control module, the power supply management module comprises a high-frequency power supply unit and a power-frequency power supply unit, and the high-frequency power supply unit adopts a full-bridge series-parallel hybrid resonance circuit; the working condition sensing module is configured with a distributed sensor network; the dynamic optimization module establishes a multi-objective optimization model; the cooperative control module realizes a four-level control architecture; the system realizes optimal balance of dust removal efficiency and energy consumption by collecting working condition parameters in real time and dynamically adjusting working parameters of a power supply. According to the intelligent electric dust removal system, through a hybrid power supply framework, a multi-sensor network and four-stage cooperative control, the dust removal efficiency is improved, and the equipment reliability and the intelligent level are improved.

The invention relates to a ship power supply management method based on a particle swarm algorithm. The method comprises the steps of constructing a sample set R, outputting a load prediction curve function based on current data, executing genetic algorithm global coarse search, searching an elite solution set P, executing particle swarm fine search, and judging whether continuous G generations in the particle swarm fine search update an optimal solution gbest or not. According to the ship power supply management method based on the particle swarm algorithm, through cooperation of genetic algorithm global coarse search and particle swarm fine search, high-dimensional space coverage and fine optimization precision are considered, compared with a single particle swarm algorithm search mode, the efficiency is higher, multi-target weight dynamic adjustment is matched, and the power supply efficiency is improved. According to the method, the single deviation that efficiency neglects cost preferentially or cost neglects stability preferentially is avoided, and a catastrophe mechanism and a closed-loop iteration mode are adopted to adapt to ship dynamic working conditions, so that the problems that high-dimensional space search efficiency is low, local extremum is easy to sink, and multi-target optimization deviates to a single target are solved.

The invention belongs to the technical field of automobile electronic manufacturing / chip burning, relates to an automobile PMIC chip burner, a burner system and a burning method, and aims to solve the problems of high system complexity and cost, low burning efficiency, insufficient reliability, insufficient safety, low production line automation degree and the like in the existing chip burning technology. The whole burning process is directly coordinated / controlled through the main control unit, an intermediate conversion link is eliminated, and the system complexity and the equipment cost are reduced; instruction conversion is carried out through the interface conversion module so as to be compatible with various types of chips; the power supply management module adopts dual-power input, the target connection interface ensures reliable physical electrical connection with the PMIC chip, the state indication module feeds back the burning state and error information in real time, and the man-machine interaction experience is improved. The device universality and the automation degree of a production line are remarkably improved, cost is low, compatibility is high, burning efficiency is high, the device is suitable for a burning system deployed on site, and the harsh requirement for zero defect of the vehicle gauge level is met.

The invention discloses a motor energy-saving high-efficiency power supply management control circuit, and relates to the technical field of motor electric energy management, and the circuit comprises a frequency conversion module which can carry out multi-path frequency conversion and power supply, and when frequency conversion is stopped, an energy-saving module transmits regenerative electric energy generated by a first motor module and a second motor module to a first battery module and a second battery module, when the sum of the generated regenerative electric energy is larger than a set low-voltage threshold value and smaller than a charging threshold value, the regenerative electric energy is subjected to hybrid superposition processing, power is supplied to a first motor module through an energy-saving module, and meanwhile a detection module detects the voltage states of a first battery module and a second battery module; and according to the full-charge or low-voltage state of the first battery module and the second battery module, the energy storage state and the discharge state of the first battery module and the second battery module are controlled. The energy-saving and efficient power supply management control circuit for the motor can avoid energy waste and improve the utilization rate of electric energy and the energy-saving effect of the motor.

The invention discloses a detection device with a power supply self-compensation function and a compensation method thereof. The compensation method comprises the following steps: detecting whether an external power supply is switched on or not; if the external power supply is switched on, judging whether the power supply voltage of the external power supply is higher than the working voltage threshold of the sensor unit through the low-voltage detection circuit; if yes, the foot voltage control switch is switched on, the under-voltage control switch is not switched on, and an external power supply supplies power to the detector detection part; if the voltage is lower than the threshold value, the undervoltage control switch is conducted and the foot voltage control switch is not conducted, the energy storage unit charging and discharging management circuit supplies power to the energy storage voltage detection circuit to enable the energy storage unit power supply control switch to be conducted, and the power is transmitted to the detector detection component through the power supply management circuit for automatic compensation power supply; and if the external power supply is not switched on, the external power supply control switch is not switched on, and the energy storage unit does not self-discharge to supply power to the sensing unit of the detector detection part. According to the invention, automatic compensation when power supply of the detector detection part is insufficient is realized.

The invention discloses a self-adaptive multi-phase parallel power supply management system, and relates to the technical field of intelligent regulation and control of a power system, and the system comprises a feature extraction module which is used for extracting periodicity, tendency and randomness features from historical power utilization data and real-time sensor data, determining a load sudden increase probability through a time sequence decomposition algorithm, and determining a load sudden increase probability; obtaining a load sudden increase probability value; the load prediction module is used for processing real-time load data through a multi-layer perceptron structure if the load sudden increase probability value is higher than a preset threshold value, predicting a load sudden increase peak value and duration in an hour-level or minute-level time window, and obtaining a load sudden increase prediction result; according to the self-adaptive multi-phase parallel power supply management system, multi-algorithm collaboration and real-time dynamic optimization are adopted, the operation stability and power supply continuity of a power grid are remarkably improved, and overload and voltage fluctuation risks are reduced.

The invention provides a power supply energy-saving circuit of a GPU server and a control method, and belongs to the field of server power supply management. The power supply energy-saving circuit comprises a power supply module used for providing a power supply for a GPU server; the power supply transmission circuit is used for transmitting the power supply of the power supply module to the target feed module; the plurality of functional units receive the power supply of the power supply transmission circuit and enter a working state; the target feed module is one or more of a plurality of functional units, the power supply transmission circuit at least comprises a first transmission path and a second transmission path, the first transmission path and the second transmission path are different from power supply input ports connected with the power supply module, a power supply output port of the first transmission path is connected to one functional unit, and a power supply output port of the second transmission path is connected to the other functional unit. The power output port of the second transmission path is connected to all the functional units at the same time. According to the power supply energy-saving circuit of the GPU server and the control method provided by the invention, the precise transmission control and time sequence management of the power supply can be realized while the cost is reduced.

The invention relates to the technical field of power supply management, in particular to a transient response optimization method based on a linear voltage regulator, and the method comprises the steps: obtaining transient response data of the linear voltage regulator when a load suddenly changes, and judging whether the linear voltage regulator enters a transient early warning state or not. And if entering the early warning state, carrying out high-frequency noise threshold segmentation on an output voltage waveform, extracting voltage change rate characteristics, constructing a compensation efficiency model based on dynamic response time and effective compensation bandwidth, calculating an optimal open-loop compensation coefficient, generating a compensation control instruction, and driving a compensation network to carry out dynamic compensation. And if the pre-warning state is not entered, ripple uniformity data of the output voltage is acquired, a deviation matrix of an actual ripple distribution curved surface and an ideal ripple distribution plane is determined, and whether a local ripple abnormal region exists is determined. According to the method, through dynamic monitoring and intelligent compensation, the transient response speed and stability of the linear voltage regulator are improved, and high-frequency noise processing and ripple uniformity are optimized.

The invention discloses a cable full life cycle health state prediction analysis method and system, and relates to the technical field of cable state monitoring, and the system comprises a power supply management module, a health comprehensive analysis module, and an adaptive sampling communication module. The power supply management module collects an electric parameter flow, generates an instantaneous power density sequence, and detects parameters such as a charge-discharge state, an output power failure type, energy supply reliability and the like in combination with historical and real-time data; the health comprehensive analysis module dynamically calculates a sampling power consumption budget, predicts an output energy curve and a risk level through graph time sequence fusion, and determines a recommended sampling level after correction; the adaptive sampling communication module maps a layering strategy and dynamically executes sampling and communication scheduling; the system solves the problem of adaptive sampling strategy matching in multi-node high-voltage distribution network monitoring, realizes accurate monitoring and strategy adaptation under differentiated aging, and improves the cable health management efficiency and reliability.

The invention belongs to the technical field of power supply control, and particularly relates to an improved linear gain digital signal control method applied to a power supply. Aiming at the problems of poor gain linearity, low control precision, slow dynamic response and insufficient adaptability to system parameter change in a wide load and wide input voltage range in the traditional digital control, the method comprises the following steps of: digitally acquiring power supply operation parameters at high precision, and introducing an adaptive linear gain adjustment module to calculate a target control gain. In addition, the method generates a pulse width modulation signal based on the corrected gain and digital operating parameters to regulate the power output, and samples quantized output feedback in real time. Through the scheme, the response speed and stability of the power supply system during transient load change can be remarkably improved, and power supply management with higher precision, higher robustness and faster dynamic response is realized, so that the overall performance of the power supply system is comprehensively improved.

The invention discloses a reset circuit of an automobile MCU and an automobile controller. The reset circuit of the automobile MCU comprises a power management module and a hardware watchdog. When the voltage output by the voltage output end of the power supply management module is smaller than the minimum working voltage of the MCU, the MCU stops working, the communication connection between the communication end of the power supply management module and the MCU is disconnected, and a first reset signal end of the power supply management module outputs a first reset signal to the MCU; and when the watchdog input end of the hardware watchdog receives the dog feeding signal sent by the MCU overtime, a second reset signal end of the hardware watchdog outputs a second reset signal to the MCU. Compared with the prior art, the reset circuit of the automobile MCU integrates the power supply monitoring function of the power supply management module and the external hardware watchdog of the MCU to jointly ensure that the MCU can be stably started or recover normal work under an abnormal working condition, so that an automobile controller works more stably.

The invention provides a deep-sea in-situ multispectral detection system. The deep-sea in-situ multispectral detection system comprises a pressure-resistant cabin, a spectrum acquisition and analysis module, a laser emission and excitation module, a laser path switching and signal regulation and control module, a system control and power supply management module and a data communication and platform interface module, the pressure-resistant cabin body is composed of a main cabin body cylinder section, a front cabin cover, a rear cabin cover and annular reinforcing ribs evenly distributed outside the main cabin body cylinder section. The front cabin cover is provided with a main power supply control base, an external power supply control sealing base, a laser-induced breakdown spectroscopy detection window, a pressure-resistant optical cable cabin penetrating piece and a deflation valve; and various functional modules are arranged on a partition plate in the cabin body. According to the system, an in-situ multispectral detection system which has multispectral joint recognition capability, adapts to deep sea extreme environments and can carry various types of operation platforms is constructed, so that efficient, stable and full-chain in-situ recognition of complex objects such as deep sea fluid, sediment pore water and hydrates is realized, and the detection efficiency and the operation safety are improved.

The invention relates to the technical field of industrial big data and unmanned aerial vehicle power management, in particular to an unmanned aerial vehicle power supply management system based on industrial big data. An ideal reference reconstruction module, a fault simulation injection module, a coupling judgment module and a feedback execution module are included; the system reconstructs a noise-free reference voltage curve by using dynamics and a battery equivalent circuit model through collecting an operation instruction, an attitude and environment data, and synchronously superposes fault features to generate a simulation curve; the core of the method is to calculate the waveform similarity between a real observation difference sequence and a theoretical obstacle-containing difference sequence, and execute threshold determination and strategy adjustment according to the waveform similarity. According to the method, conversion from static threshold judgment to dynamic form matching is realized, transient voltage drop caused by normal maneuvering can be automatically counteracted, and the problem of false alarm caused by incapability of distinguishing dynamic response and circuit failure is solved.

The invention belongs to the technical field of medical consumable supply management, and particularly relates to a medical consumable supply management system and method and an adaptive intelligent cabinet. Through real-time dynamic adjustment and closed-loop management, the accuracy and efficiency of medical consumable supply are remarkably improved, the risks of stock overstock and stockout are effectively reduced, resource allocation is optimized, the continuity and stability of medical services are ensured, and particularly, through the combination of real-time data collection and intelligent prediction, the real-time dynamic adjustment and closed-loop management are achieved. Consumable demand and supply among medical nodes are accurately matched, inventory dynamic balance is realized, operation cost is reduced, response speed is improved, medical safety is guaranteed, in addition, according to actual consumption conditions of different medical nodes, replenishment strategies are flexibly adjusted, supply chain management is further optimized, and supply efficiency is improved. The timeliness and accuracy of consumable supply of each node are ensured, and the overall medical service quality is improved.

The invention discloses a passive wireless sensor power management system for a transformer substation, and relates to the technical field of transformer substation power management, comprising the following steps: acquiring electric energy from an electromagnetic field, a temperature difference or micro vibration in a transformer substation environment, and respectively storing the electric energy in a capacitor and a solid-state battery; the stored electric energy is preprocessed, the remaining electric quantity is collected, and an energy supply and demand prediction model is constructed. According to the invention, the problems of unstable power supply and low energy utilization rate of the passive wireless sensor of the transformer substation in a complex environment are effectively solved, and the capturing efficiency of low-density environment energy is improved; the stability and the service life of energy storage are optimized; according to the method, prospective judgment of the energy supply and demand trend and on-demand distribution of power supply resources are achieved, power supply does not need to depend on a traditional battery, the maintenance cost and the safety risk are reduced, and the overall stability and practicability of the intelligent monitoring system of the transformer substation are improved.

The invention relates to the technical field of photovoltaic power supply management, and discloses a photovoltaic parking building power supply management method, device and system, and a storage medium. The method comprises the steps of determining real-time irradiation and component temperature data of a parking building ceiling photovoltaic component matrix, calculating an actual light receiving area according to component surface shadow distribution, and generating a photovoltaic output power correction parameter in combination with a historical attenuation coefficient; constructing a photovoltaic power generation capacity fluctuation sequence in unit time based on the parameters, identifying a power generation capacity decline time period and a power output gap, and marking the power generation capacity decline time period and the power output gap as a power supply unstable interval; according to the interval time sequence distribution, matching real-time load demand data of the charging piles in the building, calculating the power difference between the load demand and the power generation capacity, and generating a priority power supply sequence table; and dynamically distributing photovoltaic power to charging loads with different priorities according to the sequence table, adjusting charging and discharging threshold values of the building energy storage system, and generating a photovoltaic power dispatching instruction. The method can accurately evaluate the power generation capacity, respond to power generation fluctuation and optimize power distribution.

The invention provides a PMIC load adaptive data processing power supply scheduling method and system, and the method comprises the steps: monitoring load electrical parameters in real time, collecting historical task data, generating a composite working state identifier in combination with a current power feature and a future power demand, matching an optimal power supply strategy according to the composite working state identifier, and generating an adaptive scheduling instruction. PMIC output voltage, current and loop compensation parameters are dynamically adjusted, and efficient and stable load power supply is achieved. The efficiency, stability and adaptability of the power supply system can be improved, the problems of power supply lag, low efficiency, inflexible strategy matching and the like in the prior art are solved, and a reliable power supply management solution is provided for high-performance operation of electronic equipment.

The embodiment of the invention provides a multi-power-domain power management method, a power management system and electronic equipment, and relates to the technical field of power consumption management. The method is applied to a power supply normally open domain of the power supply management system, the power supply management system further comprises a main low dropout linear regulator, a plurality of power supply domains, a power supply switch array and an analog domain, the main low dropout linear regulator and the analog domain are connected with an external power supply, and the main low dropout linear regulator is connected with the power supply domains through the power supply switch array. The analog domain comprises a high-speed clock; the method comprises the following steps: in response to a standby mode entering instruction, sending a first control signal to an analog domain to turn off a high-speed clock; sending a group of second control signals to the power switch array to cut off power supply to at least one target power domain; and sending a third control signal to the main low-dropout linear voltage regulator to regulate the main low-dropout linear voltage regulator to enter a low-power-consumption working mode Therefore, the time for entering the low-power-consumption mode can be reduced.

Methods, systems, and devices for managing performance of workloads by hardware components housed in a power supply free chassis of a rack system are disclosed. To manage the performance, a request may be obtained to perform a workload of the workloads. Based on the request, a power risk assessment for rail mounted power systems of the rack system, and a power consumption estimate for the workload, may be used to make a determination. This determination may be made regarding whether to accept the request based on the power risk assessments, the power consumption estimate, and acceptable risk criteria. In a first instance of the determination where the request is accepted, the workload may be performed using at least a portion of the hardware components. In a second instance of the determination where the request is not accepted, the request may be rejected.

The utility model relates to an outdoor operation vehicle which comprises a walking assembly configured to support the outdoor operation vehicle to walk; the power output assembly is configured to execute outdoor operation; the power supply system is at least configured to supply power to the outdoor operation vehicle, the power supply system comprises a battery bin, a battery pack assembled in the battery bin and a power supply management device arranged outside the battery bin, and the power supply management device is at least used for controlling charging or discharging of the battery pack; the power management device comprises a shell main body, and a plurality of accommodating cavities which are isolated from one another are formed in the shell main body. According to the outdoor operation vehicle, the first containing cavity used for containing the circuit board and the second containing cavity used for being connected with the circuit board are arranged in a separated mode, and therefore the circuit board and electrical elements on the circuit board can be well protected.

The invention, which relates to the technical field of logistics supply management, discloses a production-marketing docking and cold-chain logistics integrated intelligent scheduling method comprising the following steps: S10, constructing a unified scheduling data model, and fusing multi-temperature-zone attributes, cargo dynamic energy consumption, a vehicle real-time state, an order temperature-sensitive characteristic and a delivery emergency degree to form a standardized decision data set; s20, executing multi-objective collaborative optimization, coupling the road surface type energy consumption coefficient with the order urgency score, and realizing accurate trade-off among the transportation cost, the energy consumption and the timeliness; s30, integrating meteorological and geological data, dynamically predicting path traffic risks caused by rainfall and soft soil texture, and correcting traffic parameters in real time; and S40, through cooperative sensing and image recognition of a vehicle-mounted sensor, the vehicle body pollution state is automatically judged, delayed use is executed on the limited vehicle, and standby transport capacity is started. According to the invention, through data fusion, dynamic optimization, risk early warning and closed-loop management and control, the problems of data islands, rigid path planning, slow environment response and out-of-control vehicle state are solved.

The invention discloses a power supply management method and system, and relates to the technical field of electronics, and the method comprises the steps: analyzing the fluctuation trend information of voltage and / or current in the operation state data of a dual-power supply module in response to the condition that the voltage of commercial power is not within a voltage fluctuation threshold range, judging whether the dual-power supply module is abnormal or not according to the fluctuation trend information of the voltage and / or the current; in response to the fact that the dual-power supply module is normal, analyzing temperature and humidity data in the operation environment data of the electrical equipment, determining a comprehensive environment health index according to the temperature and humidity data, and judging whether the operation environment of the electrical equipment is safe or not according to the comprehensive environment health index; and switching the main power supply and the standby power supply in response to the fact that the operation environment of the electrical equipment is in the safe state. According to the application, the problems of poor stability, cruising ability, compatibility and the like of an existing server hardware power supply system can be solved, and the reliability and the operation and maintenance efficiency of server operation are improved.

The invention discloses a material supply management data flow full-process automatic processing system and method, and relates to the technical field of electric power material supply chains. According to the scheme, order full-life-cycle data are collected in real time through an API interface, a classification model is constructed based on time dimensions and state transition rules, and a classification result is obtained; orders are divided into four classes of new generation, normal circulation, abnormal retention and state jump, and technologies of natural language processing, a decision tree algorithm, OCR and the like are combined, so that full-process automation of order information automatic verification, effective triggering, abnormal processing and settlement process closed loop is realized. According to the method, the manual intervention proportion can be remarkably reduced, the processing efficiency is improved, a closed-loop management mechanism of data acquisition-processing-analysis-optimization is formed, and a standardized solution is provided for intelligent transformation of supply chains of electric power and related industries.

The invention discloses an electric excavator power supply management system and a control method. The system comprises a mobile power supply vehicle device and an electric excavator device. The mobile power van device is connected with the electric excavator device through a cable to supply power to the electric excavator device, and the mobile power van device and the electric excavator device are further connected through a CAN bus to achieve cooperative control between the mobile power van device and the electric excavator device. According to the invention, the influence of the voltage fluctuation of the battery on the input of the inverter is effectively suppressed. And the super capacitor bears most instantaneous power impact, so that the cycle life of the battery is remarkably prolonged. Real-time communication between the power supply vehicle and the excavator enables the system to pre-judge load change in advance and dynamically adjust a power distribution strategy. Due to the double-voltage output design, the system can adapt to excavators of different tonnages, and the application scene is expanded.

A riding mower includes a seat for a user to sit on, a main frame configured to support the seat, a power output assembly configured to mow vegetation, a traveling assembly configured to enable the riding mower to travel, an operating assembly configured to be operated by the user, a control module configured to control the riding mower, and a power supply apparatus configured to supply power to the riding mower. At least a portion of the control module is disposed on the lower side of the seat, and the control module comprises a drive control board for controlling the power output assembly and the traveling assembly, a fuse, and a power supply management module.

The invention relates to the field of power management, and particularly discloses an instrument power management system for a transformer substation, which is characterized in that firstly, mixed original load data is subjected to multi-dimensional component analysis according to service functions, and different types of load growth sources such as protection, monitoring and the like are finely distinguished; then, the depth time sequence analysis capability of the large model is utilized to independently predict the future evolution trend of each component, and a clear future load structure chart is formed. Furthermore, the predicted future load data is combined with the battery characteristic parameters updated in real time to carry out prospective risk index deduction, and abstract current values are converted into specific and visual risk quantitative indexes such as future accident backup time. Therefore, the system can generate structured early warning including risk attribution for several months or even longer time in advance.

The invention discloses a big data-based supply management method and system and a storage medium, and the method comprises the steps: obtaining supply chain order big data, carrying out the data classification of the supply chain order big data based on a support vector machine, carrying out the data fluctuation analysis of the obtained food supply data, obtaining a data fluctuation curve, and carrying out the calculation of the data fluctuation curve based on a linear regression algorithm. Performing data prediction on the basis of the data fluctuation curve, and obtaining price prediction fluctuation data and supply quantity prediction fluctuation data of each supply unit; obtaining supply demand information of a next preset supply period, and analyzing the matching degree of each supply area by taking the supply demand information as a supply target and combining the price prediction fluctuation data and the supply quantity prediction fluctuation data of each supply unit; and in the map model, based on the matching degree and the geographic position of each supply area, carrying out joint supply analysis and logistics aging matching optimization on the plurality of supply areas, and obtaining an optimal supply scheme in the next preset supply period.

The application relates to the technical field of intelligent analysis, and discloses a full-voltage-grade transformer substation power supply capacity intelligent analysis method and system, computer equipment and a storage medium, which can realize intelligent and automatic analysis of the transformer substation power supply capacity, save time and labor, improve overall efficiency, are not interfered by human factors, reduce errors, and even avoid errors, the accuracy of analysis results is effectively guaranteed, and the high real-time characteristic can help power supply management departments timely capture the change of the power grid state and make effective responses, so that the high-standard requirements of modern power grid management on efficiency and accuracy can be met.

The invention discloses an intelligent terminal and manual cooperative scheduling device and method for an enterprise, and relates to the field of cooperative scheduling, a central processing unit comprises an ARMCortex-A78 processor, an FPGA task scheduling chip and a storage unit; the multi-mode interaction terminal is integrated with a touch display screen, a six-microphone array voice recognition module and an augmented reality projection module; the task data acquisition module is provided with an industrial Ethernet, a LoRaWAN wireless sensing interface and a video stream input interface; the manual intervention interface comprises a programmable key cluster, a foot switch and a biological feature recognition module; the communication module comprises a 5G industrial module and a Wi-Fi6 interface; the power supply management module supports wide voltage input and a hot plug back-up power supply; through industrial-grade hardware design, a millisecond-grade scheduling algorithm, a multi-mode cooperation mechanism and a predictive maintenance strategy, the production scheduling efficiency and the decision-making quality in a complex manufacturing environment are remarkably improved.